MacBook Pro (16-inch, 2021)
Geekbench AI Score
11090
Single Precision Score
12274
Half Precision Score
11093
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kducarmont |
| Upload Date | January 27 2025 07:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5039
937.2 IPS |
|
|
Image Classification (HP)
|
100% |
5213
969.5 IPS |
|
|
Image Classification (Q)
|
97% |
4425
825.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10000
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10292
166.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
57092
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60516
70.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
55623
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
4569
362.4 IPS |
|
|
Object Detection (HP)
|
100% |
4755
377.2 IPS |
|
|
Object Detection (Q)
|
91% |
4655
372.0 IPS |
|
|
Face Detection (SP)
|
100% |
21306
253.2 IPS |
|
|
Face Detection (HP)
|
100% |
22432
266.5 IPS |
|
|
Face Detection (Q)
|
100% |
16425
195.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26467
203.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27455
211.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
23504
183.7 IPS |
|
|
Style Transfer (SP)
|
100% |
97160
124.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120362
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
112530
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16595
612.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17042
629.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13767
508.3 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3775
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1045
18.1 IPS |
